ioangatop/DataMining ioangatop/DataMining

  • Stars
    star
    3
  • Rank 3,963,521 (Top 79 %)
  • Language
    Jupyter Notebook
  • License
    MIT License
  • Created about 5 years ago
  • Updated about 5 years ago
Twitter logo Share LinkedIn logo Share Facebook logo Share
ioangatop/DataMining
github

ioangatop

Reviews

There are no reviews yet. Be the first to send feedback to the community and the maintainers!

Repository Details

Data Mining techniques on predicting mood using time-series analysis in mental health and predicting the click behaviour of users in a hotel ranking system.

More Repositories

1

srVAE

VAE with RealNVP prior and Super-Resolution VAE in PyTorch. Code release for https://arxiv.org/abs/2006.05218.
Python
76
star
2

super_tml

PyTorch implementation of SuperTML: Two-Dimensional Word Embedding for the Precognition on Structured Tabular Data paper
Python
23
star
3

AutonomousCar

AutonomousCar
Python
17
star
4

DeepGenerativeModels

Variational Auto Encoders (VAEs), Generative Adversarial Networks (GANs) and Generative Normalizing Flows (NFs) and are the most famous and powerful deep generative models.
Python
4
star
5

MachineLearning

Implementation and analysis of core Machine Learning Algorithms from scratch.
Jupyter Notebook
3
star
6

yolo

Python
2
star
7

machine_learning_2

Repository of UvA's lab exercises for the course "Machine Learning 2" 2019.
Jupyter Notebook
1
star
8

DeepLearning

Deep learning techniques on classification tasks (MLP, CNN), analysis of sequential data (RNN) and implementation of generative models (VAE, GAN and NF).
Python
1
star